Creating accurate AI applications requires shuffling through a vast array of model architectures and tuning hundreds of hyperparameters. But there’s an easier way to automate this tedious, time-consuming manual task.

NVIDIA^® TAO 4.0 introduces AutoML, which accelerates and automates the majority of the manual tasks associated with model tuning. This webinar walks through the entire process of deploying TAO services using AutoML to find the optimal model for a given dataset. In addition, we’ll explain new features in the latest version of TAO Toolkit, including new CV Transformer models, REST APIs, and integration with third-party MLOps services.

• Use AutoML in TAO to automate the manual task of hyperparameter tuning to achieve the highest accuracy

• Integrate TAO into applications using REST APIs

• Deploy TAO with cloud services

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